| KPI-BERT: A joint named entity recognition and relation extraction model for financial reports L Hillebrand, T Deußer, T Dilmaghani, B Kliem, R Loitz, C Bauckhage, ... 2022 26th International Conference on Pattern Recognition (ICPR), 606-612, 2022 | 37 | 2022 |
| Contradiction detection in financial reports T Deußer, M Pielka, L Pucknat, B Jacob, T Dilmaghani, M Nourimand, ... Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 10 | 2023 |
| KPI-EDGAR: A novel dataset and accompanying metric for relation extraction from financial documents T Deußer, SM Ali, L Hillebrand, D Nurchalifah, B Jacob, C Bauckhage, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 10 | 2022 |
| Towards generating financial reports from tabular data using transformers CL Chapman, L Hillebrand, MR Stenzel, T Deußer, D Biesner, ... International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 10 | 2022 |
| Towards automating numerical consistency checks in financial reports L Hillebrand, T Deußer, T Dilmaghani, B Kliem, R Loitz, C Bauckhage, ... 2022 IEEE International Conference on Big Data (Big Data), 5915-5924, 2022 | 5 | 2022 |
| Improving zero-shot text matching for financial auditing with large language models L Hillebrand, A Berger, T Deußer, T Dilmaghani, M Khaled, B Kliem, ... Proceedings of the ACM Symposium on Document Engineering 2023, 1-4, 2023 | 4 | 2023 |
| A linguistic investigation of machine learning based contradiction detection models: An empirical analysis and future perspectives M Pielka, F Rode, L Pucknat, T Deußer, R Sifa 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 4 | 2022 |
| Informed named entity recognition decoding for generative language models T Deußer, L Hillebrand, C Bauckhage, R Sifa arXiv preprint arXiv:2308.07791, 2023 | 3 | 2023 |
| Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models A Berger, L Hillebrand, D Leonhard, T Deußer, TBF De Oliveira, ... 2023 IEEE International Conference on Big Data (BigData), 4626-4635, 2023 | 2 | 2023 |
| Automatic consistency checking of table and text in financial documents SM Ali, T Deußer, S Houben, L Hillebrand, T Metzler, R Sifa Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 2 | 2023 |
| Controlled randomness improves the performance of transformer models T Deußer, C Zhao, W Krämer, D Leonhard, C Bauckhage, R Sifa arXiv preprint arXiv:2310.13526, 2023 | 1 | 2023 |
| sustain. AI: a Recommender System to analyze Sustainability Reports L Hillebrand, M Pielka, D Leonhard, T Deußer, T Dilmaghani, B Kliem, ... Proceedings of the Nineteenth International Conference on Artificial …, 2023 | 1 | 2023 |
| Translating the future: Image-to-image translation for the prediction of future brain metabolism E Doering, MC Hönig, T Deußer, GN Bischof, T van Eimeren, A Drzezga, ... arXiv preprint arXiv:2402.04299, 2024 | | 2024 |
| Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models T Deußer, D Leonhard, L Hillebrand, A Berger, M Khaled, S Heiden, ... 2023 IEEE International Conference on Big Data (BigData), 2814-2822, 2023 | | 2023 |
| How Will You Age? A glimpse into future brain aging on FDG-PET using deep learning E Doering, T Deusser, M Hoenig, T van Eimeren, L Ellingsen, A Drzezga Nuklearmedizin-NuclearMedicine 62 (02), L7, 2023 | | 2023 |
| Cryptocurrencies: Trading and Return Prediction via Machine Learning Methods TKS Deußer, LP Hillebrand Copenhagen Business School, 2018 | | 2018 |
Rafet SifaProfessor of Applied Machine Learning at University of Bonn and Fraunhofer IAISVerified email at iais.fraunhofer.de
